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On Thu, 11 Jul, 12:03 AM UTC
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AWS will now let you build business apps with just a single AI prompt
Amazon Web Services (AWS) has announced the launch of AWS App Studio, a new tool that promises to revolutionize enterprise software development with a handy AI boost. With AWS App Studio, enterprise users will be able to generate entire applications with simple written prompts. The tool, designed for technical professionals, addresses some of the socioeconomic concerns surrounding today's workforce, particularly poor productivity and a worldwide talent shortage. Highlighting the tool's ability to take care of the development process with user-friendly prompts, AWS VP of Applications Dilip Kumar said: "It has never been easier for technical professionals to build custom applications tailored to the unique needs of their business, ushering in a new world of productivity for businesses of all sizes." By leveraging natural language, users can describe their desired application, the tasks it should perform, and the data sources it should integrate. App Studio's result takes a few minutes to create what would otherwise have taken a number of days. Although App Studio doesn't promise to deliver a finished and polished result, the immense time-saving benefits can help enterprises refine their applications, rather than spend time on laborious and administrative workloads involved with development. Compared with other low-code app builders, App Studio users can refine their application's requirements through interactive prompts with GenAI, which Amazon says reduces the learning curve and thus the deployment of the tool. Early adopters claimed reduced human errors, boosted efficiency and greater focus on innovation as some of the key benefits of the tool, which entered preview in US West (Oregon) yesterday.
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AWS App Studio promises to generate enterprise apps from a written prompt
GenAI is everywhere these days, but Amazon Web Services has been perceived in some circles as being late to the game. In reality it's still early, and the market is still shaking out. On Wednesday, AWS might have raised its generative AI street cred with a new tool called App Studio. App Studio promises to help you create an enterprise software application from a written prompt. That's correct: You simply describe the program you want, and AWS says it will write the code for you without the need for any professional developers. "App Studio is for technical folks who have technical expertise but are not professional developers, and we're enabling them to build enterprise-grade apps," Sriram Devanathan, GM of Amazon Q Apps and AWS App Studio, told TechCrunch. Amazon defines enterprise apps as having multiple UI pages with the ability to pull from multiple data sources, perform complex operations like joins and filters, and embed business logic in them. It is aimed at IT professionals, data engineers and enterprise architects, even product managers who might lack coding skills but have the requisite company knowledge to understand what kinds of internal software applications they might need. The company is hoping to enable these employees to build applications by describing the application they need and the data sources they wish to use. Examples of the types of applications include an inventory-tracking system or claims approval process. The user starts by entering the name of an application, calling the data sources and then describing the application they want to build. The system comes with some sample prompts to help, but users can enter an ad hoc description if they wish. It then builds a list of requirements for the application and what it will do, based on the description. The user can refine these requirements by interacting with the generative AI. In that way, it's not unlike a lot of no-code tools that preceded it, but Devanathan says it is different. "Where App Studio is different is in the way we use Gen AI to really reduce your learning curve. I'd say there's almost no learning curve. The typical no-code tools you have to understand their paradigm. You have to understand the visual interface. You kind of have to really, over time, build some expertise," he said. Once the application is complete it goes through a mini DevOps pipeline where it can be tested before going into production. In terms of identity, security and governance, and other requirements any enterprise would have for applications being deployed, the administrator can link to existing systems when setting up the App Studio. When it gets deployed, AWS handles all of that on the back end for the customer, based on the information entered by the admin. App Studio uses multiple models including Amazon Titan and Anthropic, depending on the job, according to Devanathan. App Studio is available in preview starting Wednesday.
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AWS App Studio promises to generate enterprise apps from a written prompt | TechCrunch
GenAI is everywhere these days, but Amazon Web Services has been perceived in some circles as being late to the game. In reality it's still early, and the market is still shaking out. On Wednesday, AWS might have raised its generative AI street cred with a new tool called App Studio. App Studio promises to help you create an enterprise software application from a written prompt. That's correct: You simply describe the program you want, and AWS says it will write the code for you without the need for any professional developers. "App Studio is for technical folks who have technical expertise but are not professional developers, and we're enabling them to build enterprise-grade apps," Sriram Devanathan, GM of Amazon Q Apps and AWS App Studio, told TechCrunch. Amazon defines enterprise apps as having multiple UI pages with the ability to pull from multiple data sources, perform complex operations like joins and filters, and embed business logic in them. It is aimed at IT professionals, data engineers and enterprise architects, even product managers who might lack coding skills but have the requisite company knowledge to understand what kinds of internal software applications they might need. The company is hoping to enable these employees to build applications by describing the application they need and the data sources they wish to use. Examples of the types of applications include an inventory-tracking system or claims approval process. The user starts by entering the name of an application, calling the data sources and then describing the application they want to build. The system comes with some sample prompts to help, but users can enter an ad hoc description if they wish. It then builds a list of requirements for the application and what it will do, based on the description. The user can refine these requirements by interacting with the generative AI. In that way, it's not unlike a lot of no-code tools that preceded it, but Devanathan says it is different. "Where App Studio is different is in the way we use Gen AI to really reduce your learning curve. I'd say there's almost no learning curve. The typical no-code tools you have to understand their paradigm. You have to understand the visual interface. You kind of have to really, over time, build some expertise," he said. Once the application is complete it goes through a mini DevOps pipeline where it can be tested before going into production. In terms of identity, security and governance, and other requirements any enterprise would have for applications being deployed, the administrator can link to existing systems when setting up the App Studio. When it gets deployed, AWS handles all of that on the back end for the customer, based on the information entered by the admin. App Studio uses multiple models including Amazon Titan and Anthropic, depending on the job, according to Devanathan. App Studio is available in preview starting Wednesday.
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AWS introduces AWS App Studio to speed up application development with AI - SiliconANGLE
AWS introduces AWS App Studio to speed up application development with AI Amazon Web Services Inc. today introduced AWS App Studio, an artificial intelligence service that makes it possible to develop applications using natural language prompts. The offering is designed to help companies more quickly build internal software tools for their employees. A marketing agency, for example, could use App Studio to create an application that helps staffers manage the creative assets used in ad campaigns. An information technology team might build a tool that tracks which employee workstations have to be repaired or replaced. "Using natural language, any user with some technical experience can simply describe the application they want to build, and App Studio takes care of the development process, delivering an application that employees can start using immediately," said Dilip Kumar, the vice president of applications at AWS. The development workflow in App Studio starts with a text prompt. Workers must enter a brief natural language overview of what application they wish to build. That overview can be a one-sentence summary of the task for which the application will be used, or a more detailed description that outlines specific features. Based on the provided prompt, App Studio generates a detailed list of the features and interface sections that it plans to generate. The user can review the list and, if an important feature is missing, start from scratch by entering a new prompt. App Studio takes a few minutes to generate a new application. After the initial version is ready, users can customize the program's interface through a drag and drop interface. A built-in chatbot provides pointers on how to carry out changes. Workers can optionally integrate their AI-generated applications with external services. A revenue tracking application, or example, could be configured to retrieve sales logs from a company's Amazon S3 storage repository. App Studio provides integrations with hundreds of third-party services including popular cloud applications such as Salesforce. A built-in testing tool enables workers to check that their AI-generated software works as intended before deploying it. According to AWS, the testing tool makes it possible to generate sample data similar to the information the application will process in production. Users can review how the application interacts with the data to uncover technical issues. After development is complete, App Studio makes each program accessible via a dedicated URL. Companies can apply role-based access controls to ensure that only authorized users can log into their applications. AWS positions App Studio as a more economic alternative to existing low-code development tools. The service is available for free and customers are charged based on the amount of that time employees spend using published applications. According to AWS, this arrangement makes App Studio up to 80% more cost-efficient than rival services.
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AWS App Studio turns text into enterprise apps in minutes
We want to hear from you! Take our quick AI survey and share your insights on the current state of AI, how you're implementing it, and what you expect to see in the future. Learn More Today, Amazon Web Services (AWS) kicked off its annual summit in New York and announced a bunch of new product developments, including an App Studio aimed at democratizing how enterprise-grade applications are created. Available under a limited preview, the App Studio is a generative AI-driven service that enables enterprise users to build scalable internal applications by simply describing what they need in natural language. The offering works on the command provided, uses the directed data sources and produces the required application in a matter of minutes while taking care of all critical coding-related aspects, right from testing and deployment to operation and maintenance. "AWS App Studio opens up application development to an entirely new set of builders, helping them create enterprise-grade applications in minutes," Dilip Kumar, vice president of applications at AWS, said in a statement. He said the technology is "a force multiplier" for technical employees at the largest enterprises and fastest-growing startups. The company claims App Studio is better than not only traditional development but also most low-code development tools, which do the job but fail to produce fully secure apps that comply with enterprise privacy and security policies. Multiple enterprises have already signed up for it and are using it to build applications capable of handling internal processes and workflows. As such, it competes with other no and low-code enterprise app creation platforms such as Creatio's Quantum and Salesforce Platform. The problem facing enterprises today Today, enterprise operations - no matter what the sector - depend on data-heavy internal processes and workflows (imagine tracking of inventory). Small teams handle these processes through spreadsheets and documents, but it becomes a problem of scale in no time. As the company grows, users find it difficult and time-consuming to maintain the docs. Tailor-made applications that connect to systems of record can solve this, although building, deploying, running, and maintaining them has been a resource-intensive task in itself. If a team hires expert development resources to build the app from scratch, they can take several days to bring the product to life. On the other hand, if they use low-code tools for the task, the results may not be 100% up to the mark and struggle with security and scalability gaps. New apps in minutes, no dev experience required With the new App Studio, AWS is trying to solve this problem by providing enterprises with a generative AI-powered application development interface. As the company describes, all a user has to do is simply describe the app they need, what they want to do and the data sources they want it to integrate with (from AWS to third-party sources like Zendesk). In a matter of minutes, the underlying coding models (details of which remain undisclosed) will process these inputs and build the desired professional-grade application, complete with the required user interface and workflows for testing and deployment. For instance, when a user selects specific data sources using a drop-down menu and writes "create an app for tracking inventory across stores," the App Studio will generate an outline to verify the user's intent and build an application with a multi-page UI, a data model and business logic. The offering also comes with a conversational AI assistant which provides detailed guidance on modifying different elements of the generated application using a point-and-click interface. This way, users can tweak the application generated, depending on their respective needs. Secure app customization, sharing and controls Once the app is finalized, the developer can hit the "generate data" option to see how the application will handle information in real time and move to deploy it to end users. This will make the app's custom link available to downstream users, allowing them to access it using their existing enterprise authentication tools and role-based access controls. AWS notes that the applications deployed via App Studio are not only secure and scalable but also transparent enough to give IT teams a clear picture of how the app is being used as well as options to control user and data access and set guardrails to maintain compliance with internal policies. "Using natural language, any user with some technical experience can simply describe the application they want to build, and App Studio takes care of the development process, delivering an application that employees can start using immediately. It has never been easier for technical professionals to build custom applications tailored to the unique needs of their business, ushering in a new world of productivity for businesses of all sizes," Kumar added in the statement. Available in preview While the offering is interesting, especially considering how important application development is today, it is important to note that not every AWS customer can use it right away. As of now, the company is providing the App Studio to customers in the U.S. West (Oregon) region under a limited preview. Some notable names that have already started using the studio to build applications are Campus Life & Style, Deloitte, HealthVerity and LaunchDarkly. In the coming months, AWS is expected to open up the studio to more customers, allowing them to build applications targeting different use cases more easily and quickly. It says the service to create apps using the studio will be free but users will have to pay for the time their employees/users will spend on the published applications.
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AWS Launches GenAI-Powered Service for Creating Applications
Amazon Web Services (AWS) has unveiled a generative artificial intelligence (AI)-powered service that helps users create applications using natural language. With the new AWS App Studio, users can describe an application they want, the things they want it to do, and the data sources they want to integrate with. The service then uses that information to build an application "in just minutes" that can be used immediately, AWS said in a Wednesday (July 10) press release. App Studio is currently available in preview in Oregon, according to the release. "AWS App Studio opens up application development to an entirely new set of builders, helping them create enterprise-grade applications in minutes," Dilip Kumar, vice president of applications at AWS, said in the release. "Designed to meet the needs of the largest enterprise customers and fastest growing startups, App Studio is a force multiplier for technical employees at any company." Once applications have been created by App Studio, users can modify them using the service's point-and-click interface and can get immediate guidance on how to use them by asking its generative AI-powered assistant, according to the release. In addition, the applications are secure and fully managed by AWS, the release said. This new service is designed for use by technical professionals who don't have software development skills, per the release. Potential users include IT project managers, data engineers and enterprise architects. One company already using App Studio, Deloitte, has found that the service can help its employees build applications in minutes, JB McGinnis, U.S. AWS alliance leader at Deloitte Consulting LLP, said in the release. "With App Studio, our technical employees are able to take charge and easily go from idea to application in just a few sentences, streamlining these activities for the entire team," McGinnis said. Amazon's focus on AI was a key driver of growth in the first quarter, as it announced several new generative AI products and services, PYMNTS reported in May. In April, AWS announced the general availability of its generative AI-powered assistants for software development and business decision-making, Amazon Q Developer and Amazon Q Business.
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Amazon cloud launches AI service that lets businesses create apps using text prompts - Times of India
Amazon's cloud unit, Amazon Web Services (AWS), kicked off its annual summit in New York. The company announced a bunch of product developments, including some AI refinements as it competes with companies like ChatGPT-maker OpenAI, Google, Microsoft and Facebook-parent Meta. AI chatbots have seen a meteoric rise in recent times with tech giants providing tools and platforms to create them on a requirement basis, allowing them to create chatbots that undertake specific tasks.On similar lines, Amazon launched App Studio - a generative AI-driven service that will help enterprise users to create scalable internal apps by simply describing what they need in natural language. The service is available under a limited preview. "The new AWS App Studio -- a generative AI-powered, low-code (meaning the code-writing is mostly done for you) application building service -- is the easiest way to create secure applications that can solve business problems in minutes, instead of days or weeks," the company said. For example, users can say, "Build an app to review and approve invoices" to track inventory. App Studio will generate the new application, including a user interface for listing invoices, a data model for the approval records, and a system for routing those records, Amazon explained. Amazon brings minor updates to AI agents Amazon said it is adding memory to AI agents that automate work for businesses "This allows agents to provide more personalised and more seamless experiences, especially for complicated tasks," said Vasi Philomin, Amazon's vice president of generative AI, as per Reuters. For example, the updated AI agents can remember a user's requests that he/ she prefers aisle or window seats on a flight, which was not previously possible. Amazon has also updated the Q chatbot to make improved suggestions for writing software code. The TOI Tech Desk is a dedicated team of journalists committed to delivering the latest and most relevant news from the world of technology to readers of The Times of India. TOI Tech Desk's news coverage spans a wide spectrum across gadget launches, gadget reviews, trends, in-depth analysis, exclusive reports and breaking stories that impact technology and the digital universe. Be it how-tos or the latest happenings in AI, cybersecurity, personal gadgets, platforms like WhatsApp, Instagram, Facebook and more; TOI Tech Desk brings the news with accuracy and authenticity.
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Amazon Web Services (AWS) introduces App Studio, a groundbreaking tool that allows users to create business applications using AI-generated prompts. This innovation promises to transform enterprise app development, making it faster and more accessible.
Amazon Web Services (AWS) has introduced a revolutionary tool called AWS App Studio, which promises to transform the landscape of enterprise application development. This innovative platform allows users to create fully functional business applications using nothing more than a simple text prompt, leveraging the power of artificial intelligence 1.
At the core of AWS App Studio is its ability to generate entire applications based on natural language descriptions. Users can input a brief text prompt describing the desired functionality, and the AI-driven system will automatically create a working application, complete with user interfaces, backend logic, and database structures 2. This groundbreaking approach significantly reduces the time and technical expertise required for app development.
While App Studio can generate a complete application from a single prompt, it also offers extensive customization options. Developers and business users can refine and modify the generated code, add specific features, and tailor the application to meet precise requirements. This flexibility ensures that the resulting apps are not just generic templates but fully functional, enterprise-grade solutions 3.
One of the key strengths of AWS App Studio is its seamless integration with other AWS services. The generated applications can easily incorporate various AWS technologies, such as databases, authentication systems, and cloud storage solutions. This integration allows for scalable, secure, and robust applications that leverage the full power of AWS's cloud infrastructure 4.
The introduction of AWS App Studio is expected to have a significant impact on enterprise application development. By dramatically reducing the time and resources required to create business apps, it opens up new possibilities for rapid prototyping, experimentation, and innovation within organizations. This tool has the potential to democratize app development, allowing non-technical staff to contribute directly to the creation of business solutions 5.
While AWS App Studio represents a major leap forward in application development, it also raises questions about the future role of traditional developers. As AI-powered tools become more sophisticated, there may be a shift in the skills required in the tech industry. However, experts suggest that human developers will still play a crucial role in refining, customizing, and maintaining these AI-generated applications 3.
The launch of AWS App Studio signals a new era in software development, where AI assistants play an increasingly important role. As these tools evolve, they have the potential to accelerate digital transformation across industries, enabling businesses to respond more quickly to changing market demands and internal needs. The long-term impact of such technologies on software development practices and the IT job market remains a topic of ongoing discussion and speculation in the tech community 5.
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Amazon Web Services (AWS) announces significant AI developments at its annual re:Invent conference, including new Trainium chips, enhancements to SageMaker and Bedrock platforms, and AI-powered tools to compete with Microsoft in the cloud computing market.
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Amazon Web Services enhances its AI assistant Amazon Q with new features for both developers and business users, focusing on improved data analysis, workflow automation, and code development.
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